As usual the problem is Americans. We won't learn metric and refuse to use the 24 hour clock. It removes ambiguity and solves so many issues but since it would require people to stop and think what 1600 means for the first few months it will never happen here.

It's better if you do

It's a reference to Chris-Chan lore which, to be fair, has become incomprehensibly deep.

LLMs can automate some tasks (especially basic coding), but with some major caveats:

- They have rapidly diminishing returns on higher contexts. They are very easy to overload with user information. You can post-train them, but that’s too much into actual computer science to be useful to the average office worker. They can work well as a co-worker assistant in a few cases, but they really can’t replace humans long term.

- LLMs only really work well when given the ability to call on-device tooling. Which, with a cloud system like Copilot, is going to be super tame and underwhelming because of lawsuits and various business deals. Tool calling is only really agnostic when you’re running the model yourself on your own device.

- On the topic of on-device models, there’s also the fact that AI provider companies have been caught evading things like robots.txt and causing so much crawling activity that it effectively becomes a DDoS attack. On-device AI doesn’t solve this totally, but most people likely won’t be pushing their gaming GPUs to the absolute limit 24/7 to constantly hit websites with crawl requests.

>> What problem even remotely on this level does an LLM solve?

Translation problem. Google Translate does job poorly, if you compare with chatgpt. Especially if there are mix of languages in input.

Basic search of common, Wikipedia-level knowledge, to explain something. LLM is good at it.

> Nobody needed to be convinced an iPhone was a good idea

It still took a couple of years, though.

Of course in hindsight its rather obvious. But there were other smartphones and they were (on paper at least) superior in quite a few ways.

Minesweeper, Solitaire and 3D Space Pinball are remembered fondly because they were entertaining and stayed out of the way. Copilot is the opposite of that. I don't need to see a Copilot prompt to "clean up my data" when I open an Excel file.

There's historical examples too, years ago people were pissed when Apple and U2 force downloaded their newly released album onto everyone's iPhone/Pod, and there's also the reverse where some highly anticipated game release will have servers overwhelmed by demand. It's hard to see any organic desire for AI in the general public, a new model releasing doesn't cause a wave of interest.

I mean, the vast majority of the time, I don't care. The one that actually did make me mad was Apple Messages getting pre-generated replies on every Messages window when you click into the field, which a) I don't want, and b), and this is the irritating part: the little popup thing that shows them so you can click them obstructs the Enter key from sending whatever you have typed. So you constantly have to either hit Escape to dismiss it, or click it away, before you can send what you actually want to send.

It's remarkably fucking annoying and is genuinely one of the worst UX decisions Apple has made in like a decade.

Yeah that's fair. Many people will just never interact with cryptocurrency and all that at all. I don't. Supposedly BTC is worth $2.2T, which is somewhat of a large number, but it's all funny money from a certain point of view.

>what are the goliaths from web3?

Are you not paying attention? Web3 is going just great![0]

[0] https://www.web3isgoinggreat.com/

I really enjoyed that comment because if you read it in reverse, each subsequent "big thing" has had fewer and fewer goliaths emerge.

In terms of web3, I think you could broadly say Bitcoin (though it was large before web3 so that one's muddy) and Etherium. But even then... given what they are, I'm not sure in what sense these are meant to be Goliaths...? It's alternative payment processors that have incredibly low adoption compared to virtually every other. They're "big" in the sense that they have a lot of traction relative to other crypto, but I still have never used the shit even once and I do not feel I am missing out even slightly.

I've used LLMs FAR more than any crypto, and I still see it largely as a neat way to get out of writing boring code, and a good rubber duck to bounce ideas off of when debugging. I wouldn't pay for it if I had to.

The only thing I know crypto for is being the new and preferred payment method for scammers, and that you used to be able to buy drugs with it but not anymore. And godawful avatar collections, I guess. I wouldn't call that a Goliath myself but. shrug

VR has its gaming niche and thankfully doesn't insist on itself. Apple abandoned it fast and Zuckerberg eventually stopped embarrassing himself by trying to make Metaverse a crypto-powered Epstein island.